Devops Engineer

Prodapt•Irving, TX

10d•Onsite

About The Position

Prodapt is the largest and fastest-growing specialized player in the Connectedness industry, recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider across North America, Europe and Latin America. With its singular focus on the domain, Prodapt has built deep expertise in the most transformative technologies that connect our world. Prodapt is a trusted partner for enterprises across all layers of the Connectedness vertical. Prodapt designs, configures, and operates solutions across their digital landscape, network infrastructure, and business operations – and craft experiences that delight their customers. Today, Prodapt’s clients connect 1.1 billion people and 5.4 billion devices, and are among the largest telecom, media, and internet firms in the world. Prodapt works with Google, Amazon, Verizon, Vodafone, Liberty Global, Liberty Latin America, Claro, Lumen, Windstream, Rogers, Telus, KPN, Virgin Media, British Telecom, Deutsche Telekom, Adtran, Samsung, and many more. A “Great Place To Work® Certified™” company, Prodapt employs over 6,000 technology and domain experts in 30+ countries across North America, Latin America, Europe, Africa, and Asia. Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 30,000 people across 80+ locations globally. Unlike a traditional production support role, this position requires strong engineering aptitude and a proactive operational mindset. The ideal candidate combines customer/agent facing application ecosystem knowledge, application monitoring expertise, incident management experience, automation skills, and a passion for leveraging AI and GenAI technologies to improve operational efficiency. You will partner closely with engineering teams, release management, security, compliance, and business stakeholders to identify risks, reduce incidents, enhance monitoring capabilities, and drive platform reliability across a complex ecosystem supporting hundreds of enterprise applications.

Requirements

Overall experience: 5+ years experience performing Production Support for Mission Critical, high-performance applications (Customer Care, Retail and eCommerce customer/agent facing application experience preferred)
Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field
Experience using Docker, Kubernetes and Microsoft Azure Cloud, Unix, Networking and troubleshooting knowledge
Experience with enterprise monitoring and observability tools such as: Application & Infrastructure Performance Monitoring tools like Dynatrace, Application Log Analytics tools like Elastic, Visualization tools like Kibana and Grafana. EFK stack experience preferred
Creation of Dashboards on Dynatrace, ELK and Grafana
Debugging java log, debugging microservices log
Experience in Relational & NoSQL databases like Oracle & Cassandra
Strong experience with: Incident Management, Problem Management, Root Cause Analysis, Service restoration processes
Experience working across multiple technical teams in large-scale enterprise environments.
Strong written and verbal communication skills.

Nice To Haves

Site Reliability Engineering (SRE) experience.
Experience building operational dashboards and observability platforms.
Hands-on experience with AI, GenAI, Copilot, & operational automation.
Experience with scripting or automation using Python, PowerShell, JavaScript, or similar technologies.
Exposure to release management, change management, and production deployments.
Understanding of security, SOX, compliance, and enterprise operational controls.
Experience supporting large-scale environments with hundreds of integrated applications.
Generative AI and Workflow Automation skills
GPT-4o LLM – Advanced
LangGraph and LangChain
Google DialogFlow(Api.ai)
Google Vertex
Databricks, Spark, Snowflake
Python, Java, SQL
Selenium, Playwright Robotic Process Automation (RPA)
Power Automate, Automation Anywhere
Demonstrated experience leveraging AI-driven tools for automating end-to-end operational workflows
Demonstrated experience using Text Generative & Code Generative AI Models
Automation, Gen AI & Agentic Workflow Technical Skills to include

Responsibilities

Serve as a key member of the Engineering Operations organization supporting self-assist Web & Mobile App and related business applications.
Provide Tier 1/2 operational support for production systems in a 24x7 environment.
Monitor application health, performance, availability, and customer experience across the platform.
Drive proactive issue detection and prevention rather than relying solely on customer-reported incidents.
Participate in incident response, triage, war rooms, major incident management, and post-incident reviews.
Perform root cause analysis (RCA) and identify opportunities to improve platform stability and resiliency.
Partner with Tier 1, Tier 2, Tier 3, infrastructure, security, and application teams to rapidly resolve issues.
Create and maintain operational runbooks, knowledge articles, and support documentation.
Build, maintain, and optimize monitoring dashboards, alerts, and health checks.
Analyze application logs, API activity, transactions, and performance metrics.
Utilize observability and monitoring platforms including: Dynatrace, ELK Stack (Elasticsearch, Logstash, Kibana), Catchpoint or other synthetic monitoring solutions, Quantum Metrics or other user session replay solutions
Reduce alert fatigue through automation, threshold tuning, and intelligent event correlation.
Develop and enhance monitoring strategies to provide end-to-end visibility across Digital ecosystem and integrated systems.
Act as a technical responder during production incidents and service disruptions.
Coordinate issue resolution efforts across multiple technical teams and stakeholders.
Manage incident lifecycle activities including: Detection, Triage, Resolution, Communication, Root cause analysis
Identify recurring issues and lead problem management initiatives to eliminate operational inefficiencies.
Develop innovative approaches to reduce manual operational effort through automation.
Leverage AI, GenAI, agentic workflows, and intelligent operational tooling where appropriate.
Create automation solutions to improve: Shift handoffs, Incident reporting, Alert management, Knowledge management, Operational reporting
Contribute to internal AI initiatives that improve engineering productivity and service reliability.
Evaluate and implement automation opportunities across monitoring, ticketing, collaboration, and support workflows.